Cuckoo filter-based location-privacy preservation in database-driven cognitive radio networks

Mohamed Grissa, Attila A. Yavuz, Bechir Hamdaoui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Citations (Scopus)

Abstract

Cognitive Radio Networks (CRNs) enable opportunistic access to the licensed channels by allowing secondary users (SUs) to exploit vacant channel opportunities. One effective technique through which SU s acquire whether a channel is vacant is using geo-location databases. Despite their usefulness, geo-location database-driven CRN s suffer from location privacy threats, merely because SUs have to query the database with their exact locations in order to learn about spectrum availability. In this paper, we propose an efficient scheme for database-driven CRN s that preserves the location privacy of SU s while allowing them to learn about available channels in their vicinity. We present a tradeoff between offering an ideal location privacy while having a high communication overhead and compromising some of the users' coordinates at the benefit of incurring much lower overhead. We also study the effectiveness of the proposed scheme under various system parameters.

Original languageEnglish
Title of host publication2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479999057
DOIs
Publication statusPublished - 29 Dec 2015
Externally publishedYes
EventWorld Symposium on Computer Networks and Information Security, WSCNIS 2015 - Hammamet, Tunisia
Duration: 19 Sept 201521 Sept 2015

Publication series

Name2015 World Symposium on Computer Networks and Information Security, WSCNIS 2015

Conference

ConferenceWorld Symposium on Computer Networks and Information Security, WSCNIS 2015
Country/TerritoryTunisia
CityHammamet
Period19/09/1521/09/15

Keywords

  • Cognitive radio networks
  • Cuckoo Filter
  • Database-driven spectrum availability
  • Location privacy preservation

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